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Posted by Andy Brown on 10 November 2021
The NumPy module in Python lets you create and manipulate single-axis or multi-dimensional arrays. This tutorial will (among other things) show you how to create, multiply, sort, filter, join, slice, transpose, flatten and clip arrays using NumPy!
See our full range of Python training resources, or test your knowledge of Python with one of our Python skills assessment tests.
This video has the following accompanying files:
File name | Type | Description |
---|---|---|
Data types.webp | Image | NumPy data types |
Premier League points.xlsx | Excel workbook | Excel Workbook of Premier League points |
Useful links.txt | Text file | Useful links for tutorial |
A - basic arrays.py | Python code | Creating basic arrays |
B - data types.py | Python code | Working with data types |
C - ways to create arrays.py | Python code | Different ways to create NumPy arrays |
D - slicing arrays.py | Python code | Slicing arrays |
E - Aggregation.py | Python code | Aggregating using sum etc |
F - dot versus multiply.py | Python code | The principle of array multiplication |
G - premier league points.py | Python code | Multiplying arrays to get points scored |
H - sorting arrays.py | Python code | Sorting arrays |
I - join arrays.py | Python code | Stacking and concatenating arrays |
J - other things you can do.py | Python code | Other array techniques |
Click to download a zipped copy of the above files.
After watching this video, you may like to test your understanding by doing one or more of the following exercises:
Exercise | Level |
---|---|
Create a NumPy array of the Tokyo Olympics medal table, then slice and sum it | Easy |
You can also download the answers to each exercise from the links above.
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